Literature DB >> 28057463

Heart rate variability indices as bio-markers of top-down self-regulatory mechanisms: A meta-analytic review.

Jacob B Holzman1, David J Bridgett2.   

Abstract

Theoretical perspectives posit that heart-rate variability (HRV) reflects self-regulatory capacity and therefore can be employed as a bio-marker of top-down self-regulation (the ability to regulate behavioral, cognitive, and emotional processes). However, existing findings of relations between self-regulation and HRV indices are mixed. To clarify the nature of such relations, we conducted a meta-analysis of 123 studies (N=14,347) reporting relations between HRV indices and aspects of top-down self-regulation (e.g., executive functioning, emotion regulation, effortful control). A significant, albeit small, effect was observed (r=0.09) such that greater HRV was related to better top-down self-regulation. Differences in relations were negligible across aspects of self-regulation, self-regulation measurement methods, HRV computational techniques, at-risk compared with healthy samples, and the context of HRV measurement. Stronger relations were observed in older relative to younger samples and in published compared to unpublished studies. These findings generally support the notion that HRV indices can tentatively be employed as bio-markers of top-down self-regulation. Conceptual and theoretical implications, and critical gaps in current knowledge to be addressed by future work, are discussed.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Effortful control; Emotion regulation; Executive functioning; Heart rate variability; Inhibitory control; Reappraisal; Respiratory sinus arrhythmia; Self-control; Self-regulation; Working memory

Mesh:

Year:  2017        PMID: 28057463     DOI: 10.1016/j.neubiorev.2016.12.032

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  87 in total

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Review 8.  Theoretical implications and clinical support for heart rate variability biofeedback for substance use disorders.

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